Although most research in plausible reasoning has focused on the single agent case, multiple agent nonmonotonic reasoning is a prerequisite for many commonsense reasoning problems. This paper explores the features that are essential to any multiple agent nonmono-tonic logic, such as explicit belief, inter-agent reasoning rules, and arrogance. We present MANML, an extension of Autoepistemic Logi...

Describing planning domains using a common formalism promotes greater reuse of research, allowing a fairer comparison between different approaches. Common planning formalisms for single-agent planning are already well established (e.g., PDDL, STRIPS, and HTN), but currently there is a shortage of multi-agent planning formalisms with clear semantics. In this paper, we propose a multi-agent exten...

criticism of public extension services has resulted in various countries seeking alternative approaches for provision of these services. in all these approaches, extension personnel are the key factors to the success of the implementation. today, agricultural extension services in turkey bear the responsibility of the ministry of food, agriculture and livestock. a number of non-public extension...

This paper outlines an approach to communication among design agents in a multi-agent environment. This approach is founded on the concepts of situatedness from cognitive science and is an extension of traditional multi-agent communication.

To minimize transmission bandwidth in speech based communication systems such as telephone systems, narrowband representation of the signal is generally used. This band-limited signal can able to represent the vowel sounds without much distortion, but it is not suitable for representing consonant sounds, mostly fricative consonants ( th /, sh/, / Isl /, xl/ ch, /, etc). Artificial Band Extensio...

Search queries can be used to infer preferences and interests of users. While search engines use this information for, among others, targeted advertising and personalization, these tasks can violate user’s privacy. In 2006, after AOL disclosed the search queries of 650,000 users and some of them were re-identified, many Privacy Enhancement Technologies (PETs) have sought to solve this problem. ...

Game theory is an important field in economics; it studies how people make decisions amid conflict and cooperation. Various experiments have been carried to study the way people play those games, and economists study those data for various purposes. There has been a rise of need for using artificial agents to simulate the game, since we could save the cost of hiring human subjects for the exper...

This paper studies how to extend the concept of active object into a structure of agent. It rst discusses the requirements for autonomous agents that are not covered by simple active objects. We propose then the extension of the single behavior of an active object into a set of behaviors with a meta-behavior scheduling their activities. To make a concrete proposal based on these ideas we descri...

While both situation calculus and dynamic epistemic logics (DELs) are concerned with reasoning about actions and their effects, historically, the emphasis of situation calculus was on physical actions in the single-agent case, in contrast, DELs focused on epistemic actions in the multi-agent case. In recent years, crossfertilization between the two areas has begun to attract attention. In this ...

Rational agents are usually built to maximize rewards. However, AGI agents can find undesirable ways of maximizing any prior reward function. Therefore value learning is crucial for safe AGI. We assume that generalized states of the world are valuable – not rewards themselves, and propose an extension of AIXI, in which rewards are used only to bootstrap hierarchical value learning. The modified...